Top Banner
Hitachi Predictive Maintenance Hitachi Predictive Maintenance utilizes IoT techniques like reliability-centered maintenance, overall equipment effectiveness, and analytics to significantly improve maintenance efficiency, asset availability, and lifetime value. Limited visibility on asset status and performance, high costs of managing aging legacy assets, high asset replacement costs and other overhead contribute to overall maintenance spend. Predictive maintenance could reduce cost by 10 to 40 percent and reduce downtime by 50 percent. 1 Hitachi Predictive Maintenance helps practitioners evaluate assets and diagnose problems using monitoring tools like sensors and image analytics. We leverage advanced algorithms and machine learning principles to deploy repeatable maintenance solutions and an optimized asset lifecycle maintenance plan. Key Benefits • Improve overall asset availability, reliability and lifetime value. • Optimize maintenance costs. • Increase overall plant productivity through improved asset utilization. • Reduce over-reliance on human expertise and judgment. • Improve plant safety and regulatory compliance. 1 - Unlocking the potential of the Internet of Things, McKinsey, 2015 © 2017 Hitachi Consulting Corporation. All rights reserved.
1

Hitachi Predictive Maintenance | Hitachi Consulting · 2020-02-25 · Hitachi Predictive Maintenance Hitachi Predictive Maintenance utilizes IoT techniques like reliability-centered

Mar 29, 2020

Download

Documents

dariahiddleston
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Hitachi Predictive Maintenance | Hitachi Consulting · 2020-02-25 · Hitachi Predictive Maintenance Hitachi Predictive Maintenance utilizes IoT techniques like reliability-centered

Hitachi Predictive MaintenanceHitachi Predictive Maintenance utilizes IoT techniques like reliability-centered maintenance, overall equipment effectiveness, and analytics to significantly improve maintenance efficiency, asset availability, and lifetime value.

Limited visibility on asset status and performance, high costs of managing aging legacy assets, high asset replacement costs and other overhead contribute to overall maintenance spend. Predictive maintenance could reduce cost by 10 to 40 percent and reduce downtime by 50 percent.1

Hitachi Predictive Maintenance helps practitioners evaluate assets and diagnose problems using monitoring tools like sensors and image analytics. We leverage advanced algorithms and machine learning principles to deploy repeatable maintenance solutions and an optimized asset lifecycle maintenance plan.

Key Benefits

• Improve overall asset availability, reliability and lifetime value.

• Optimize maintenance costs.

• Increase overall plant productivity through improved asset utilization.

• Reduce over-reliance on human expertise and judgment.

• Improve plant safety and regulatory compliance.

1 - Unlocking the potential of the Internet of Things, McKinsey, 2015 © 2017 Hitachi Consulting Corporation. All rights reserved.